Association of Taiwan’s Rainfall Patterns with Large-Scale Oceanic and Atmospheric Phenomena

A 50-year (1960–2009) monthly rainfall gridded dataset produced by the Taiwan Climate Change Projection and Information Platform Project was presented in this study. The gridded data (5 × 5 km) displayed influence of topography on spatial variability of rainfall, and the results of the empirical ort...

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Main Authors: Yi-Chun Kuo, Ming-An Lee, Mong-Ming Lu
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2016/3102895
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spelling doaj-0786df444ebf44d1a4d99f0baab3c18e2020-11-24T23:36:36ZengHindawi LimitedAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/31028953102895Association of Taiwan’s Rainfall Patterns with Large-Scale Oceanic and Atmospheric PhenomenaYi-Chun Kuo0Ming-An Lee1Mong-Ming Lu2Department of Environmental Biology and Fisheries Science, National Taiwan Ocean University, 2 Pei-Ning Road, Keelung 20224, TaiwanDepartment of Environmental Biology and Fisheries Science, National Taiwan Ocean University, 2 Pei-Ning Road, Keelung 20224, TaiwanResearch and Development Center, Central Weather Bureau, Taipei, TaiwanA 50-year (1960–2009) monthly rainfall gridded dataset produced by the Taiwan Climate Change Projection and Information Platform Project was presented in this study. The gridded data (5 × 5 km) displayed influence of topography on spatial variability of rainfall, and the results of the empirical orthogonal functions (EOFs) analysis revealed the patterns associated with the large-scale sea surface temperature variability over Pacific. The first mode (65%) revealed the annual peaks of large rainfall in the southwestern mountainous area, which is associated with southwest monsoons and typhoons during summertime. The second temporal EOF mode (16%) revealed the rainfall variance associated with the monsoon and its interaction with the slopes of the mountain range. This pattern is the major contributor to spatial variance of rainfall in Taiwan, as indicated by the first mode (40%) of spatial variance EOF analysis. The second temporal EOF mode correlated with the El Niño Southern Oscillation (ENSO). In particular, during the autumn of the La Niña years following the strong El Niño years, the time-varying amplitude was substantially greater than that of normal years. The third temporal EOF mode (7%) revealed a north-south out-of-phase rainfall pattern, the slowly evolving variations of which were in phase with the Pacific Decadal Oscillation. Because of Taiwan’s geographic location and the effect of local terrestrial structures, climate variability related to ENSO differed markedly from other regions in East Asia.http://dx.doi.org/10.1155/2016/3102895
collection DOAJ
language English
format Article
sources DOAJ
author Yi-Chun Kuo
Ming-An Lee
Mong-Ming Lu
spellingShingle Yi-Chun Kuo
Ming-An Lee
Mong-Ming Lu
Association of Taiwan’s Rainfall Patterns with Large-Scale Oceanic and Atmospheric Phenomena
Advances in Meteorology
author_facet Yi-Chun Kuo
Ming-An Lee
Mong-Ming Lu
author_sort Yi-Chun Kuo
title Association of Taiwan’s Rainfall Patterns with Large-Scale Oceanic and Atmospheric Phenomena
title_short Association of Taiwan’s Rainfall Patterns with Large-Scale Oceanic and Atmospheric Phenomena
title_full Association of Taiwan’s Rainfall Patterns with Large-Scale Oceanic and Atmospheric Phenomena
title_fullStr Association of Taiwan’s Rainfall Patterns with Large-Scale Oceanic and Atmospheric Phenomena
title_full_unstemmed Association of Taiwan’s Rainfall Patterns with Large-Scale Oceanic and Atmospheric Phenomena
title_sort association of taiwan’s rainfall patterns with large-scale oceanic and atmospheric phenomena
publisher Hindawi Limited
series Advances in Meteorology
issn 1687-9309
1687-9317
publishDate 2016-01-01
description A 50-year (1960–2009) monthly rainfall gridded dataset produced by the Taiwan Climate Change Projection and Information Platform Project was presented in this study. The gridded data (5 × 5 km) displayed influence of topography on spatial variability of rainfall, and the results of the empirical orthogonal functions (EOFs) analysis revealed the patterns associated with the large-scale sea surface temperature variability over Pacific. The first mode (65%) revealed the annual peaks of large rainfall in the southwestern mountainous area, which is associated with southwest monsoons and typhoons during summertime. The second temporal EOF mode (16%) revealed the rainfall variance associated with the monsoon and its interaction with the slopes of the mountain range. This pattern is the major contributor to spatial variance of rainfall in Taiwan, as indicated by the first mode (40%) of spatial variance EOF analysis. The second temporal EOF mode correlated with the El Niño Southern Oscillation (ENSO). In particular, during the autumn of the La Niña years following the strong El Niño years, the time-varying amplitude was substantially greater than that of normal years. The third temporal EOF mode (7%) revealed a north-south out-of-phase rainfall pattern, the slowly evolving variations of which were in phase with the Pacific Decadal Oscillation. Because of Taiwan’s geographic location and the effect of local terrestrial structures, climate variability related to ENSO differed markedly from other regions in East Asia.
url http://dx.doi.org/10.1155/2016/3102895
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AT minganlee associationoftaiwansrainfallpatternswithlargescaleoceanicandatmosphericphenomena
AT mongminglu associationoftaiwansrainfallpatternswithlargescaleoceanicandatmosphericphenomena
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